• Diploma: Information Technology
• Under Graduate: B.E. Information Technology
• Under Graduate: B.Tech. Artificial Intelligence (AI) & Data Science
• Post Graduate: M.Tech. Artificial Intelligence

Nurturing computation, communication and digitization skills for information management

• Imparting quality education in both theory and applications of Information Technology


• Producing competent human resource for industry, society and higher education


• Fostering the spirit of team work, professionalism and adaptive attitude towards technological trends/innovations

• Program graduates will work effectively in Information Technology or related profession at industry, academia or as entrepreneur.


• Program graduates will demonstrate life-long learning and successful adaptation to technological changes.


• Program graduates will communicate and work effectively, both individually and with team,with professional ethics, social awareness and environmental concerns.

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.


• Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences


• Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.


• Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.


• Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.


• The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.


• Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.


• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.


• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.


• Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.


• Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.


• Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

• Knowledge of Core Courses: Acquire knowledge of core courses like programming, algorithms, database technologies, software engineering and networking and apply them to solve real world problems.
• Tools and Technologies: Use techniques, skills, software, equipment and modern engineering tools to analyze and solve problems.
• Innovation and Development: Apply domain knowledge to transform innovative ideas into reality by developing effective IT solutions.